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Description
Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.
Description
An intuitive, code-free platform designed for sophisticated data analysis, enabling quick and precise insights. Why choose Datavore? Accelerate your workflow by integrating various signals seamlessly. Identify and monitor indicators across multiple datasets to effectively validate and test these signals. Organize your data comprehensively, ensuring everything is cataloged in a single location. Utilize dynamic filters for swift access to both internal and external data. Dive into exploration by creating dashboards that allow for comparison, assessment, and ongoing monitoring of key metrics. Efficiently evaluate and track numerous indicators across different datasets. Conduct thorough proprietary research by building advanced forecasting models and performing regression analyses. This platform offers the flexibility of Excel combined with the scalability of the cloud, allowing for streamlined quantitative research and the automation of repetitive tasks. With Excel-like syntax, you can create custom functions and leverage existing time series formulas. The patented ingestion engine facilitates the discovery of concepts and relationships within expansive datasets. Align your data with the company’s fiscal calendar or other defined timeframes to ensure accuracy in reporting. Aggregate data effectively to enhance your analysis.
API Access
Has API
API Access
Has API
Integrations
Rocket Data Replicate & Sync
VE3 DataWise
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/solutions/implementations/data-lake-solution/
Vendor Details
Company Name
Datavore Labs
Country
United States
Website
www.datavorelabs.com
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics